提出PPR-RBAC(a Privacy-Preserved RBAC for Raster data).该模型在RBAC模型的基础上
提出伪装客体的概念
采用数据伪装技术
将敏感客体扩展为真实客体和伪装客体;定义客体激活的方法
建立用户对真实客体和伪装客体的访问控制机制.最后
形式化证明PPR-RBAC模型的基本安全定理
为模型在地理信息系统中的应用奠定基础.
Abstract
Due to the fact that GIS(Geographic Information System) could provide high-resolution image with commercial observation satellites
this commercial availability of unprecedented and timely information and images of the earth poses significant threats to national security.Since existing access control models could not avoid the information inference according to the authorization results
a privacy-preserved RBAC for Raster Data is proposed
in PPR-RBAC
fake objects are made to protect sensitive raster objects
and authorization mechanisms are contributed for user to access sensitive raster objects by sensitive object activation.In conclusion
PPR-RBAC is formally proved to be safe and it lays the groundwork for the security deployment of PPR-RBAC in GIS.